An E-learning System Based on Subsumption Architecture

The loss of feeling is one of the biggest shortcomings in the traditional E-learning system. In order to compensate for this shortfall, we describe a face recognition-based Intelligent E-learning system based on Brooks´ subsumption architecture. In this architecture, we implement the subsumption of lower layers by high layers using nonmonotonic reasoning principles. However, unlike systems that followed Brooks´ work, it allows the layers to work in synergy to produce the compound behavior. Study shows that, based on the above structure, the system could track learners´ emotional changes in real time, and dynamically adjust the learning strategies to make learners´ study more efficient.